Mass spectrometry data on specialized metabolome of medicinal plants used in East Asian traditional medicineopen access
- Authors
- Kang, Kyo Bin; Jeong, Eunah; Son, Seungju; Lee, Eunjin; Lee, Seungjin; Choi, Seong Yeon; Kim, Hyun Woo; Yang, Heejung; Shim, Sang Hee
- Issue Date
- Aug-2022
- Publisher
- NATURE PORTFOLIO
- Citation
- SCIENTIFIC DATA, v.9, no.1
- Journal Title
- SCIENTIFIC DATA
- Volume
- 9
- Number
- 1
- URI
- https://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/152580
- DOI
- 10.1038/s41597-022-01662-2
- ISSN
- 2052-4463
2052-4463
- Abstract
- Traditional East Asian medicine not only serves as a potential source of drug discovery, but also plays an important role in the healthcare systems of Korea, China, and Japan. Tandem mass spectrometry (MS/MS)-based untargeted metabolomics is a key methodology for high-throughput analysis of the complex chemical compositions of medicinal plants used in traditional East Asian medicine. This Data Descriptor documents the deposition to a public repository of a re-analyzable raw LC-MS/MS dataset of 337 medicinal plants listed in the Korean Pharmacopeia, in addition to a reference spectral library of 223 phytochemicals isolated from medicinal plants. Enhanced by recently developed repository-level data analysis pipelines, this information can serve as a reference dataset for MS/MS-based untargeted metabolomic analysis of plant specialized metabolites.
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